As a modern anatomy educator, Dr. Sunit’s research focuses on the application of technology-based teaching-learning practices in medical pedagogy. His work includes the use of virtual 3D anatomy atlases and creation of educational anatomy videos for YouTube and Instagram. Currently pursuing a Ph.D. from the Symbiosis Centre for Research and Innovation, Dr. Sunit’s research intends to understand how binaural frequency music affects attention. As a junior researcher at Symbiosis Centre for Medical Image and Analysis, he is learning brain neuroimaging techniques using EEG and fMRI under the mentorship of his Ph. D. advisor Dr. Bhushan Borotikar
Dr. Sunit is also a professional musician (singer-songwriter-guitarist) with two released albums streaming on all digital platforms worldwide. He often enjoys incorporating music and other performing arts in his classroom to make the teaching and learning process more engaging, enjoyable, and interactive. He is a lifelong 'un'learner and strives to create a pedagogical world where a multi-disciplinary learning environment is not an exception, but a norm.
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Contact:
Email: sunit.jadhav@smcw.siu.edu.in
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Dr Arunprasad.V.K has done Master of Science (M.Sc) in Human Anatomy from Amrita School of Medicine, Kerala. He is a passionate anatomist with key Interest in Radiological and Developmental Anatomy, with a special focus on fetal autopsy and cross-sectional imaging. He is currently pursuing Ph.D. from SCMIA under the Mentorship of Dr Bhushan Borotikar. His Ph.D research focuses on understanding the neuroimaging patterns in children with cerebral palsy- diagnosis and treatment.
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Email: arunprasad@smcw.siu.edu.in
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Dhanashri Joshi has a Master degree in Computer Engineering from Pune Institute of Computer Technology, Pune. Also she has Gate qualified. Currently, she is a full-time Ph.D. student an JRF at SCMIA. Her work focuses on medical image analysis using Machine Learning and Deep Learning techniques.
Contact:
Email: dhanashri.joshi@scmia.edu.in
Surabhi Thatte has a M.Tech in Information Technology from Guru Gobind Singh Indra Prastha University, Delhi. Also she has qualified UGC NET in June 2012 and GATE in 2010. Currently, she is a Part-time Ph.D. students at SCMIA. Her work focuses on medical image analysis using Machine Learning and Deep Learning techniques.
Contact:
Email: surabhi.thatte.phd2020@sitpune.edu.in